Vailexa

Global recruitment and workforce solutions provider

Data Tech Team Lead

Data EngineeringConfirmed live in the last 24 hours

Full-timeDallas, TX, USANo salary listed

About the Job

Requirements

Eight or more years of experience in data engineering, data warehousing, or software engineering.
Three or more years of experience leading engineering teams.
Strong hands-on experience with GCP data and analytics services, including BigQuery, Dataproc, Cloud Functions, Cloud Run, Cloud Storage, and Pub/Sub.
Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.
Advanced SQL and Python experience for building robust data extraction and transformation logic.
Experience with CI/CD pipelines, including GitLab CI.
Experience supporting business intelligence, analytics, or data science use cases.
Ability to work across technical and business teams.

Responsibilities

Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across GCP and OCI.
Design resilient and low-latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.
Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.
Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.
Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.
Support pipeline orchestration and platform operations for enterprise data environments.
Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.
Optimize database, warehouse, and query performance, including BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.
Enforce data governance, access control policies, row- and column-level security, and cataloging practices to support audits and data discovery.
Monitor and optimize storage and compute costs associated with large-scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.

Build More Than Just a Career. Build Your Future.

At Vailexa, we’re not just hiring — we’re building thinkers, creators, and future leaders.

We believe in giving people the space to grow, the freedom to think, and the opportunity to create real impact from day one. If you’re someone who wants to learn fast, take ownership, and grow beyond limits, you’ll feel right at home here.

Responsibilities:

• Architect, implement, and maintain scalable data lakes, lakehouses, and data warehousing strategies across GCP and OCI.

• Design resilient and low latency Extract, Transform, Load and Extract, Load, Transform pipelines to ingest, clean, and transform data from diverse transactional, operational, and business systems.

• Lead, mentor, and support a team of data engineers, analytics engineers, and database developers.

• Establish code quality standards and conduct architecture reviews to support reliable and scalable data solutions.

• Partner with application, Data Science, merchandising, and supply chain technology teams to ensure the data platform delivers clean, timely, and actionable insights.

• Support pipeline orchestration and platform operations for enterprise data environments.

• Implement automated data testing, anomaly detection, and data lineage tracking to support trust in enterprise reporting.

• Optimize database, warehouse, and query performance, including approaches such as BigQuery partitioning, BigQuery clustering, and OCI Autonomous Data Warehouse indexing.

• Enforce data governance, access control policies, row and column level security, and cataloging practices to support audits and data discovery.

• Monitor and optimize storage and compute costs associated with large scale query activity, including BigQuery slots, Serverless Dataproc, OCI Compute, and storage layers.Qualifications:• Eight or more years of experience in data engineering, data warehousing, or software engineering.

• Three or more years of experience leading engineering teams.

• Strong hands on experience with GCP data and analytics services, including BigQuery, Dataproc, cloud functions, cloud runners, Cloud Storage, and Pub and Sub.

• Experience with OCI data infrastructure, including Autonomous Data Warehouse, OCI GoldenGate, Oracle Integration Cloud, and Oracle Database Cloud Services.

• Advanced SQL and Python experience for building robust data extraction and transformation logic.

• Experience with CI/CD pipelines, including GitLab CI.

• Experience supporting business intelligence, analytics, or data science use cases.

• Strong communication and collaboration skills with the ability to work across technical and business teams.

Tools and Technologies:

• Google Cloud Platform

• Oracle Cloud Infrastructure

• BigQuery

• Dataproc

• Cloud Functions

• Cloud Storage

• Pub and Sub

• OCI Autonomous Data Warehouse

• OCI GoldenGate

• Oracle Integration Cloud

• Oracle Database Cloud Services

• SQL

• Python

• GitLab CI

• GCP Vertex AI

• Data lakes

• Lakehouses

• Data warehouses

• Data lineage tools and practices

• Data quality and observability practices

Ready to take the next step?

If you’re excited about this role and ready to grow with a team that values ambition, ideas, and impact — we’d love to hear from you.

👉 Apply now and start building your journey with Vailexa.

About the Company

Vailexa

Global recruitment and workforce solutions provider

Vailexa provides global staffing and workforce solutions across multiple industries, offering contract, contract-to-hire, and permanent placements, along with IT staffing, healthcare staffing, executive search, and RPO. It acts as an extension of a client’s team by managing the full recruitment lifecycle from sourcing to onboarding, while using data-science analytics to aid workforce planning and identify future talent gaps. The company blends human expertise with automation and relies on a network of over 25,000 pre-vetted professionals across the USA, Canada, and India to support onsite, remote, or hybrid work. Its approach combines analytics-driven planning with end-to-end recruiting and a large global talent pool to provide a seamless staffing solution and help organizations align talent with future business needs.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Plano, TX
Founded: 2020

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